• Dr. Gavirangaiah. K

Solving polynomial equations is a fundamental problem in mathematics with applications across science, engineering, and technology. Traditional numerical methods, while useful for approximations, often fail to provide exact solutions or reveal underlying algebraic structures. Symbolic computation offers a powerful alternative, enabling precise manipulation of polynomials and exact determination of roots. By treating polynomials as abstract expressions rather than numerical approximations, symbolic methods facilitate operations such as factorization, simplification, and decomposition. These techniques allow complex equations, including higher-degree and multivariable polynomials, to

Polynomial Equations, Symbolic Computation, Factorization, Root-Finding, Multivariable Polynomials, Parametric Analysis.

"SOLVING POLYNOMIAL EQUATIONS USING SYMBOLIC COMPUTATION", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.13, Issue 1, page no.f548-f555, January-2026, Available :http://www.jetir.org/papers/JETIR2601581.pdf

"SOLVING POLYNOMIAL EQUATIONS USING SYMBOLIC COMPUTATION", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.13, Issue 1, page no. ppf548-f555, January-2026, Available at : http://www.jetir.org/papers/JETIR2601581.pdf